一种多波形雷达信号全数字产生及处理系统

提出并实现了兼容多种雷达脉压信号的全数字产生及处理系统。其信号包括线性调频信号、非线性调频信号及其多相码、泰勒（Ｔａｙｌｏｒ）四相码信号等。利用级联型ＦＩＲ滤波器ＩＭＳＡ１００组成数字复相关脉压网络对多种带宽（带发达５ＭＨｚ）脉压信号进行实时数字处理；分析了数字方法运用于波形合成中由于ＤＡＣ零阶保持特性造成的信号频谱高频失真的机理；采用提高ＤＡＣ转换速率以获得近似理想冲激串取样的方法，产生了多种性能稳定、波形质量高的宽带雷达脉压信号。文中给出了部分模拟与实验结果。     

微机化视频图形发生仪的研制

介绍了以单片机和ＣＲＴ显示器控制芯片ＣＲＴＣ为主的微机化视频图形发生仪的设计方法及原理．对用ＭＣ６８４５ＣＲＴＣ产生视频信号的方法及图象分辨率作了详细介绍，给出了将此视频图象发生仪作图象刺激仪的软件框图．     

阵列信号单信道处理技术

阵列信号处理已广泛应用于许多电子系统中，如微波无源比幅测向系统等，但通道间的振幅和相位的不平衡常常引起较大的测向误差。为了匹配通道间的振幅和相位平衡，可利用卫星通信中的多址联接技术（如ＦＤＭＡ、ＴＤＭＡ或ＣＤＭＡ）构成单信道处理系统来代替多信道系统。文中详细地研究了ＣＤＭＡ单信道系统，建立了系统模型，分析了系统特性，模拟结果证明了这种单信道理论和技术的可行性。     

N进制计数器的一种设计方法

通过对计数器工作原理及组成的分析,提出N进制计数器的一种设计方法。运用本文提出的方法,我们可对N进制计数器进行快速设计,并且思路固定。使N进制计数器的设计变得有规律可循。     

A Compressive Sensing Based Analysis of Anomalies in Generalized Linear Models

In this article, we present a compressive sensing based framework for generalized linear model regression that employs a two-component noise model and convex optimization techniques to simultaneously detect outliers and determine optimally sparse representations of noisy data from arbitrary sets of basis functions. We then extend our model to include model order reduction capabilities that can uncover inherent sparsity in regression coefficients and achieve simple, superior fits. Second, we use the mixed ?₂/?₁ norm to develop another model that can efficiently uncover block-sparsity in regression coefficients. By performing model order reduction over all independent variables and basis functions, our algorithms successfully deemphasize the effect of independent variables that become uncorrelated with dependent variables. This desirable property has various applications in real-time anomaly detection, such as faulty sensor detection and sensor jamming in wireless sensor networks. After developing our framework and inheriting a stable recovery theorem from compressive sensing theory, we present two simulation studies on sparse or block-sparse problems that demonstrate the superior performance of our algorithms with respect to (1) classic outlier-invariant regression techniques like least absolute value and iteratively reweighted least-squares and (2) classic sparse-regularized regression techniques like LASSO.     

Seasonal Adjustment of Time Series Using One-Sided Filters

This article presents a model-based signal extraction seasonal adjustment procedure to extract estimates of the independent unobserved seasonal and nonseasonal components from an observed time series. The decomposition yields a one-sided filter that is optimal for adjusting the most recent observation under the assumption of using only the past observed series. Some advantages of this procedure are that no forecasts are required for implementation and there are no problems of revision of estimates or questions of concurrent adjustment. Comparisons are made with existing procedures using two-sided filters.     

Discrete Multicolour Random Mosaics with an Application to Network Extraction

We introduce a class of random fields that can be understood as discrete versions of multicolour polygonal fields built on regular linear tessellations. We focus first on a subclass of consistent polygonal fields, for which we show Markovianity and solvability by means of a dynamic representation. This representation is used to design new sampling techniques for Gibbsian modifications of such fields, a class which covers lattice‐based random fields. A flux‐based modification is applied to the extraction of the field tracks network from a Synthetic Aperture Radar image of a rural area.     

解答朱东润先生关于梅尧臣家世的“未易解者”

学界对于北宋诗人梅尧臣的研究历来十分重视,并取得众多成果。但上世纪60年代著名学者朱东润先生留下的关于梅尧臣家世研究的四点疑惑,至今还未有人对之作出进一步解答,文章试在前辈研究的基础上,对四处"未易解者"辨别真伪并做出了判断。